Literature DB >> 28290613

Selection of experimental strawberry (Fragaria x ananassa) hybrids based on selection indices.

S D Vieira1, D C de Souza2, I A Martins3, G H M R Ribeiro4, L V Resende2, A K L Ferraz5, A G Galvão2, J T V de Resende6.   

Abstract

The strawberry (Fragaria x ananassa Dutch.), is the only vegetable belonging to the rosacea family. All strawberry species have now emerged from wild species and belong to the genus Fragaria, being that this genus presents more than 45 described species, and only 11 are considered natural species. Due to the octoploid nature of strawberry and its variability after hybridization, selecting one or more characters may result in unfavorable genotypes and even the exclusion of promising ones, because negative genetic correlations have been observed among them that cause inefficient selection. Therefore, the objective of this study was to verify the efficiency of selection indices in selecting experimental strawberry hybrids for in natura consumption and processing. Seven commercial cultivars and 103 hybrids were used, which were obtained from populations derived from their crossings. The experiment was conducted in augmented blocks, in which four agronomical traits (total mass, amount of commercial fruit, amount of noncommercial fruit, and average fruit mass) and seven physical-chemical traits (soluble solids, soluble solids:titratable acidity ratio, total sugars, total pectin, vigor, and internal and external coloration) were evaluated. For hybrid selection, the following indices were used: Mulamba and Mock (1978), Smith (1936), Hazel (1943), and genotype-ideotype, which selected 20% of the genotypes evaluated. The three indices selected about 9% of the hybrids. The selection of two experimental hybrids (89 and 495) and the use of selection indices resulted in larger estimates of selection gains. The Mulamba and Mock (1978), Smith (1936), and Hazel (1943) indices had the highest percentage of gains on selection, and are therefore recommended for the selection of strawberry clones.

Entities:  

Mesh:

Year:  2017        PMID: 28290613     DOI: 10.4238/gmr16019052

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  1 in total

1.  Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement.

Authors:  Eneide Barth; Juliano Tadeu Vilela de Resende; Keny Henrique Mariguele; Marcos Deon Vilela de Resende; André Luiz Biscaia Ribeiro da Silva; Sushan Ru
Journal:  Sci Rep       Date:  2022-07-06       Impact factor: 4.996

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.